DatasetLwaziANV

← All examples Model summary →

Modelfacebook/omniASR-CTC-1BOpen2facebook/omniASR-CTC-300MOpen5facebook/omniASR-CTC-3BOpen3facebook/omniASR-CTC-7BOpen2facebook/omniASR-LLM-1BOpen4facebook/omniASR-LLM-300MOpen6facebook/omniASR-LLM-3BOpen4facebook/omniASR-LLM-7BOpen6aadel4/omniASR-CTC-1B-v2Open4aadel4/omniASR-CTC-300M-v2Open6badrex/w2v-bert-2.0-zulu-asrOpen5dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen5dsfsi/anv-whisper-small-anv-zulu-first-batchOpen5facebook/mms-1b-allOpen5openai/whisper-large-v3Open18openai/whisper-smallOpen11sitwala/whisper-large-anv-sotOpen23sitwala/whisper-large-v3-anv-sotOpen22sitwala/whisper-large-v3-turbo-anv-zul-150hOpen5sitwala/whisper-large-v3-turbo-anv-zul-250hOpen5sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

facebook/omniASR-CTC-300MOpen   Example 19 of 100  ·  sample index 18

✅ What was actually said (isiZulu reference)
kwaMerarikwavelaumndeniwabawamaHa-wamaMahelinomndeniwamaMushi,yileyoeyimindeniyamaMerari.
🤖 What this model heard
kwamerarikwavelaumndeniwabawamahawamahelynomndeniwamamusiyileyoeyimndeniyamamerari
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
7
Correct
4
Wrong
0
Missed
1
Extra
64%
Words right
0.545
WER
0.091
CER
13.23s
Duration
0.2s
Latency